Top Machine Learning Jobs in Paris

The Director/Senior Director of Strategic Solutions at C3.ai is responsible for consulting with customers to aid in their digital transformation strategies, managing strategic customer engagement, and driving business development. The role requires strong technical fluency in AI and machine learning, alongside prior sales experience in SaaS and consulting.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

The Hardware Partnerships Program Manager at Hugging Face will drive strategic partnerships, coordinate with internal teams, and operationalize go-to-market strategies to enhance partnership impacts and revenue. The role involves customer-facing interactions and collaboration with major tech partners to develop joint roadmaps and promote Hugging Face's partnerships.

The Hardware Partnerships Program Manager at Hugging Face will drive strategic partnerships by operationalizing go-to-market goals, collaborating with internal and external stakeholders, and developing co-selling strategies for revenue growth.

As a Data Scientist at Pubstack, you'll optimize the monetization engine using advanced machine learning and data analysis techniques. You'll analyze datasets to uncover insights, document research progress, collaborate with engineers and product teams, and contribute to continuous R&D efforts that drive business impact and innovation.

As a Staff Machine Learning Engineer at Mozilla, you will lead the design and integration of Generative AI solutions for Firefox, build the infrastructure for LLMs and small models, implement validation and testing procedures, and optimize deployed models for performance.

As a Senior Data Scientist at Doctolib, you will develop and implement AI solutions, simplify access to healthcare, deploy algorithms in production, and collaborate with a team to improve patient solutions. You will also measure outcomes to continuously enhance your methods.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.

As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.

As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.

As a Senior Software Engineer focused on Machine Learning at Ubisoft, you will build scalable ML systems, design and maintain microservices and APIs, develop data pipelines, and collaborate with teams to deploy models in cloud infrastructure. The role requires a blend of software engineering and machine learning expertise.

As a Machine Learning Engineer at Autodesk, you will develop ML-powered product features, collaborate on cutting-edge research projects, construct ML pipelines, process data, and analyze errors for solutions. You will work closely with researchers and engineers to document methods and results effectively.

The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.

The Staff MLOps Engineer at Doctolib will develop, deploy, and maintain machine learning models, ensuring performance and scalability. Responsibilities include implementing MLOps pipelines, collaborating with data scientists, and optimizing model performance while documenting processes and best practices.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.